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Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor

Overview of attention for article published in Journal of Translational Medicine, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
facebook
4 Facebook pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor
Published in
Journal of Translational Medicine, November 2020
DOI 10.1186/s12967-020-02583-7
Pubmed ID
Authors

Turner Palombo, Andrea Campos, Suzanne D. Vernon, Shad Roundy

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 15%
Researcher 6 15%
Student > Master 3 8%
Student > Ph. D. Student 2 5%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 16 41%
Readers by discipline Count As %
Unspecified 6 15%
Engineering 4 10%
Business, Management and Accounting 2 5%
Physics and Astronomy 2 5%
Computer Science 2 5%
Other 9 23%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2020.
All research outputs
#1,829,031
of 23,577,761 outputs
Outputs from Journal of Translational Medicine
#304
of 4,186 outputs
Outputs of similar age
#48,228
of 417,185 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 92 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 417,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.